This release is a pre-release and may not be stable for production use.
CoreLens
A Python library for querying, analysing, and visualising geospatial Earth science data built on CoreStack.
CoreLens provides a unified interface over microwatersheds, administrative boundaries, and pluggable domain entities — with lazy Parquet I/O (powered by Polars), seasonal time-series support, and spatial statistical analysis.
Quickstart
pip install core-lens
from core_lens import AoI
from core_lens.entities import MWSEntity, TehsilEntity
# Register entities
AoI.register(MWSEntity)
AoI.register(TehsilEntity)
# Create an AoI scoped to a specific Tehsil
aoi = AoI(data_root="/path/to/data", tehsil="Pangi")
# Access entities scoped to this AoI
mws_view = aoi.mws
# Materialise and plot
static_result = mws_view.static
aoi.plot(overlay=static_result)
Documentation
Full documentation is available in the docs/ directory. It includes:
- Core Concepts: Understanding AoI, Views, and Results.
- Example Queries: Time filtering, aggregations, spatial joins, and statistics.
- Plugin System: How to add custom entities.
To build the docs locally:
cd docs
make html
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file core_lens-0.1.dev149.tar.gz.
File metadata
- Download URL: core_lens-0.1.dev149.tar.gz
- Upload date:
- Size: 316.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
uv/0.11.26 {"installer":{"name":"uv","version":"0.11.26","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Fedora Linux","version":"44","id":"","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
53c8559f8b763209538f3b2b3a7bb68af7f5bee75cc96b8059a5e5cdf3a23542
|
|
| MD5 |
c34f727f4ad66e745c80585e072cab07
|
|
| BLAKE2b-256 |
a94a6fd2455f365d35cf117f8b64f6d2e544712c1b148ba843d42f5a5a1dbe5d
|
File details
Details for the file core_lens-0.1.dev149-py3-none-any.whl.
File metadata
- Download URL: core_lens-0.1.dev149-py3-none-any.whl
- Upload date:
- Size: 85.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
uv/0.11.26 {"installer":{"name":"uv","version":"0.11.26","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Fedora Linux","version":"44","id":"","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6388e90f4b1b9d22f0c8a47535335c8fb82431b19a1f6d59c57436d6c98d1c5d
|
|
| MD5 |
446f1c8d9f071757511bbb986e2cd49e
|
|
| BLAKE2b-256 |
38c154ba8b3e434bb745091788ad5f2b5f233842779bfa505d66fca3659c34a3
|
